System and Method for Optimizing Online Privacy Recommendations for Entity Users

The present application is a continuation-in-part of U.S. patent application Ser. No. 18/385,779, filed on Oct. 31, 2023, and entitled, “SYSTEM AND METHOD FOR OPTIMIZING ONLINE PRIVACY RECOMMENDATIONS FOR ENTITY USERS”; which is a continuation-in-part of U.S. patent application Ser. No. 17/361,001, filed on Jun. 28, 2021, and entitled, “SYSTEM AND METHOD FOR OPTIMIZING ONLINE PRIVACY RECOMMENDATIONS FOR ENTITY USERS”; which claims the benefit of U.S. Provisional Application Ser. No. 63/044,614, filed Jun. 26, 2020, and entitled, “PERSONAL DATA PRIVACY SYSTEMS AND METHODS PROVIDING EACH ENTITY USER WITH PRIVACY RIGHTS EXPERIENCED AS HUMAN NEEDS THROUGH CONTINUOUS OPTIMIZATION MATCHING OF THE USER'S PRIVACY RIGHTS EDUCATION WITH THEIR HUMAN NEEDS”; the contents of said applications being hereby incorporated herein in their entireties at least by virtue of this reference.

The present disclosure relates to the field of online privacy systems; in particular, a system and method for dynamically optimizing online privacy recommendations for entity users.

Data privacy protection laws and regulations have been created in countries, such as the United Kingdom or the United States, and in regions/states, such as the European Economic Area (EEA region) or California (United States), which determine how data collection and data processing (either electronic or non-electronic data) must be lawfully performed for a data subject user by each data processor or data controller.

A data processor is an entity that predominantly offers services through such technologies as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). A data controller, such as a financial institution, education institution, or a sports team, et al. is an entity that determines what data is collected and processed, the purpose of the data collection and processing, and the collection and processing means, which are predominantly SaaS, PaaS, IaaS, Tele-communications technologies, etc. but may be any type of electronic, paper, audio, video, text data collection and processing operation that are executed by data processor(s). The data subject user utilizes data processor(s) and data controller(s) services and technologies for their daily life activities in their country/region.

predominantly not readily visible for each data subject user to understand each specific data use in that country/region as displayed by each respective data processor and data controller on its websites, software application log-in pages, SMS or RCS messages, email messages, or phone calls, just to name a few disclosure methods; are lengthy, written by data processor and data controller legal counsel, with key terms and legal rights not easily located and understood by less privacy-educated data subject users; may not be kept updated with the latest country/region data privacy protection regulations; and, that often don't disclose each specific legal use of data and related ‘third party’ (data processor or data controller) data collection and processing methods, means, policy(s), terms of service (use) or are done in a vague fashion with key terms not easily located and understood by less privacy-educated data subject users. In order for a data subject user, to understand and enforce their data privacy protection rights, as granted by the laws and regulations of their country/region, a data subject has predominantly had to rely on each respective data processor and data controller website privacy and cookie policy(s), audio/video support privacy disclosures, and website/application privacy terms of service (use) to understand how data processors and data controllers collect and process data for a specific purpose(s). Such policies and terms of service (use) disclosures are:

Personal data privacy systems and methods provide each data subject entity user with privacy rights experienced as human needs through continuous optimization matching of the user's privacy rights education with their human needs through providing each user (educated scorer) with earned, redeemable financial rewards for uniquely privacy scoring each chosen good or service privacy policy and terms of service that also contains shareable user-supplied and consented respective demographic information and for referring additional entity users based on the user's privacy score to receive financial rewards meeting their respective human needs, the financial rewards being optionally donatable by the educated scorer to the community to meet broader human needs.

The following presents a simplified summary of some embodiments of the invention in order to provide a basic understanding of the invention. This summary is not an extensive overview of the invention. It is not intended to identify key/critical elements of the invention or to delineate the scope of the invention. Its sole purpose is to present some embodiments of the invention in a simplified form as a prelude to the more detailed description that is presented later.

Certain aspects of the present disclosure provide for a computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction, comprising creating, with at least one processor, an entity user account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score, wherein the entity user account is associated with an entity user of the end user application; assigning, with the at least one processor, a unique alpha-numeric identifier for the entity user within the entity user account, wherein the unique alpha-numeric identifier comprises a composite identification of an industry or legal privacy standard, a geographic or jurisdictional identifier, a technology platform identifier, a category good or service identifier, an entity user-supplied, consented, and shareable demographic identifier and an entity identifier; matching, with the at least one processor, the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier; and providing, with the at least one processor via the graphical user interface, the entity privacy rights recommendation comprising the one or more online category good or service vendor matched to the entity user.

In accordance with certain embodiments, the computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction may further comprise one or more steps or operations for analyzing, with the at least one processor, at least one online privacy policy or online terms of service for the one or more online category good or service vendor according to at least one machine learning framework to generate the composite identification of one or more of the industry or legal privacy standard, the geographic or jurisdictional identifier, the technology platform identifier, and the category good or service identifier. In certain embodiments, the computer-implemented method may further comprise one or more steps or operations for presenting, with the at least one processor via the graphical user interface, a one or more user prompts associated with one or more online category good or service list item to the entity user, wherein the one or more user prompts comprise one or more privacy education prompts. The one or more steps or operations may further comprise receiving, with the at least one processor via the graphical user interface, one or more user-generated inputs in response to the one or more user prompts. The one or more steps or operations may further comprise processing, with the at least one processor, the one or more user-generated inputs in response to the one or more user prompts to generate the entity user privacy score. The one or more steps or operations may further comprise analyzing, with the at least one processor, the entity user privacy score and the unique alpha-numeric identifier to match the entity user to the one or more online category good or service vendor. The one or more steps or operations may further comprise presenting, with the at least one processor via the graphical user interface, a one or more subsequent user prompts associated with the one or more online category good or service list item to the entity user, wherein the one or more subsequent user prompts comprise one or more subsequent privacy education prompts. The one or more steps or operations may further comprise receiving, with the at least one processor via the graphical user interface, one or more subsequent user-generated inputs in response to the one or more subsequent user prompts. The one or more steps or operations may further comprise processing, with the at least one processor, the one or more subsequent user-generated inputs to generate an updated entity user privacy score. The one or more steps or operations may further comprise analyzing, with the at least one processor, the updated entity user privacy score and the unique alpha-numeric identifier to provide an updated entity privacy rights recommendation to the entity user via the graphical user interface of the end user application.

In accordance with certain embodiments, the entity privacy rights recommendation for the computer-implemented method may comprise a link for a uniform resource locator for a webpage associated with the one or more online category good or service vendor. In accordance with certain embodiments, the computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction may further comprise one or more steps or operations for tracking, with the at least one processor, one or more online transaction associated with the link for the uniform resource locator for the webpage associated with the one or more online category good or service vendor. In certain embodiments, the computer-implemented method may further comprise one or more steps or operations for providing, with the at least one processor via the graphical user interface, one or more financial rewards to the entity user in response to the one or more online transaction associated with the link for the uniform resource locator for the webpage associated with the one or more online category good or service vendor.

In accordance with certain embodiments, the computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction may further comprise one or more steps or operations for providing, with the at least one processor via the graphical user interface, at least one social sharing link associated with the entity user account to the entity end user. In certain embodiments, the computer-implemented method may further comprise one or more steps or operations for tracking, with the at least one processor, one or more social sharing event associated with the at least one social sharing link associated with the entity user account. In certain embodiments, the computer-implemented method may further comprise one or more steps or operations for providing, with the at least one processor via the graphical user interface, one or more financial rewards to the entity user in response to the one or more social sharing event.

In accordance with certain embodiments, the computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction may further comprise one or more steps or operations for generating, with the at least one processor, a privacy index value for the one or more online category good or service vendor according to the at least one machine learning framework, wherein the privacy index value is directly or inversely correlated to one or more industry parameters for the one or more online category good or service vendor. In certain embodiments, the one or more industry parameters may comprise one or more of a privacy regulation parameter, an adverse legal or regulatory action parameter, a security or privacy-related incident or breach parameter, and a consumer satisfaction or consumer confidence parameter.

Further aspects of the present disclosure provide for a system for optimizing an entity privacy rights recommendation for an online transaction, comprising a processor; and a non-transitory computer readable storage medium communicably engaged with the processor and encoded with processor-executable instructions that, when executed, cause the processor to perform one or more operations comprising creating an entity user account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score, wherein the entity user account is associated with an entity user of the end user application; assigning a unique alpha-numeric identifier for the entity user within the entity user account, wherein the unique alpha-numeric identifier comprises a composite identification of an industry or legal privacy standard, a geographic or jurisdictional identifier, a technology platform identifier, a category good or service identifier, an entity user-supplied, consented, and sharable demographic identifier and an entity identifier; matching the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier; and providing the entity privacy rights recommendation comprising the one or more online category good or service vendor matched to the entity user via the graphical user interface of the end user application.

Still further aspects of the present disclosure provide for a non-transitory computer-readable medium encoded with instructions for commanding one or more processors to execute operations for optimizing an entity privacy rights recommendation for an online transaction, the operations comprising creating an entity user account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score, wherein the entity user account is associated with an entity user of the end user application; assigning a unique alpha-numeric identifier for the entity user within the entity user account, wherein the unique alpha-numeric identifier comprises a composite identification of an industry or legal privacy standard, a geographic or jurisdictional identifier, a technology platform identifier, a category good or service identifier, an entity user demographic identifier and an entity identifier; matching the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier; and providing the entity privacy rights recommendation comprising the one or more online category good or service vendor matched to the entity user via the graphical user interface of the end user application.

Still further aspects of the present disclosure provide for a system for optimizing consumer privacy in online transactions. In accordance with certain aspects of the present disclosure, the system comprises an end user device associated with an entity user, wherein the end user device comprises a personal computing device comprising at least one radio frequency antenna; and at least one remote server communicably engaged with the end user device via a network communications interface, wherein the at least one remote server comprises at least one processor and a non-transitory computer-readable storage medium operably engaged with the at least one processor and encoded with processor-executable instructions that, when executed, cause the at least one processor to perform one or more operations. In accordance with certain aspects of the present disclosure, the one or more operations comprise operations for providing an instance of an end user application to the end user device; providing, via a graphical user interface of the end user application, a plurality of privacy rights education prompts and a plurality of personal demographic data prompts to the entity user; receiving, via the graphical user interface of the end user application, a plurality of user-generated data in response to the plurality of privacy rights education prompts and the plurality of personal demographic data prompts; analyzing the plurality of user-generated data according to at least one data processing framework to generate a privacy score for the entity user; generating a unique identifier for the entity user according to the plurality of user-generated data, wherein the unique identifier comprises a composite identification of two or more of an industry or legal privacy standard, a geographic or jurisdictional identifier, a technology platform identifier, a category good or service identifier, and/or personal demographic data for the entity user, wherein the unique identifier comprises an anonymous identifier for the entity user; analyzing at least one online privacy policy or online terms of service for one or more online category good or service vendor according to at least one machine learning framework; generating a privacy index value for the one or more online category good or service vendor according to the at least one machine learning framework; matching the entity user to one or more online category good or service vendor according to the privacy score and the privacy index value; receiving, from the end user device, transaction data for at least one transaction associated with the entity user, wherein the end user device is configured to receive the transaction data via receiving a data packet with the at least one radio frequency antenna, wherein the transaction data is encoded in the data packet; storing the transaction data for the at least one transaction associated with the entity user in at least one database; and linking the unique identifier to the transaction data in the at least one database.

Still further aspects of the present disclosure provide for a system for optimizing consumer privacy in online transactions. In accordance with certain aspects of the present disclosure, the system comprises an end user device associated with an entity user, wherein the end user device comprises a personal computing device comprising at least one radio frequency antenna; and at least one remote server communicably engaged with the end user device via a network communications interface, wherein the at least one remote server comprises at least one processor and a non-transitory computer-readable storage medium operably engaged with the at least one processor and encoded with processor-executable instructions that, when executed, cause the at least one processor to perform one or more operation. In accordance with certain aspects of the present disclosure, the one or more operations comprise operations for providing an instance of an end user application to the end user device; providing, via a graphical user interface of the end user application, a plurality of privacy rights education prompts and a plurality of personal demographic data prompts to the entity user; receiving, via the graphical user interface of the end user application, a plurality of user-generated data in response to the plurality of privacy rights education prompts and the plurality of personal demographic data prompts, wherein the plurality of user-generated data comprises a plurality of personal demographic data for the entity user; analyzing the plurality of user-generated data according to at least one data processing framework to generate a privacy score for the entity user; generating a unique identifier for the entity user according to the plurality of user-generated data, wherein the unique identifier for the entity user comprises an authentication key for the entity user; wherein the end user device is configured to store the unique identifier for the entity user in a computer-readable storage medium of the end user device; analyzing at least one online privacy policy or online terms of service for one or more online category good or service vendor and an entity user-supplied, consented, and sharable demographic identifier according to at least one machine learning framework; generating a privacy index value for the one or more online category good or service vendor according to the at least one machine learning framework; matching the entity user to one or more online category good or service vendor according to the privacy score and the privacy index value; receiving, from the end user device, the unique identifier for the entity user at one or more time points; authenticating at least one computing session for the entity user according to the unique identifier; and in response to authenticating the at least one computing session for the entity user according to the unique identifier, receiving, from the end user device, transaction data for at least one transaction associated with the entity user, wherein the end user device is configured to receive the transaction data via receiving a data packet with the at least one radio frequency antenna, wherein the transaction data is encoded in the data packet.

Still further aspects provide for a computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction. In accordance with certain aspects of the present disclosure, the computer-implemented method comprises one or more steps or operations for creating, with at least one processor, an entity user account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score, wherein the entity user account is associated with an entity user of the end user application; providing, with the at least one processor via a network interface, an instance of the end user application to an end user device associated with the entity user, wherein the end user device comprises at least one radio frequency antenna, receiving, with the at least one processor, at least one personal demographic data item for the entity user; assigning, with the at least one processor, a unique alpha-numeric identifier for the entity user within the entity user account; receiving, with the end user device, transaction data for at least one transaction associated with the entity user; providing, with the end user device via the network interface, the transaction data to the at least one processor; validating, with the at least one processor, at least one transaction for the entity user according to the transaction data; matching, with the at least one processor, the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier, the transaction data, and the at least one personal demographic data item for the entity user; and providing, with the at least one processor via the graphical user interface, the entity privacy rights recommendation comprising the one or more online category good or service vendor matched to the entity user.

The foregoing has outlined rather broadly the more pertinent and important features of the present invention so that the detailed description of the invention that follows may be better understood and so that the present contribution to the art can be more fully appreciated. Additional features of the invention will be described hereinafter which form the subject of the claims of the invention. It should be appreciated by those skilled in the art that the conception and the disclosed specific methods and structures may be readily utilized as a basis for modifying or designing other structures for carrying out the same purposes of the present invention. It should be realized by those skilled in the art that such equivalent structures do not depart from the spirit and scope of the invention as set forth in the appended claims.

It should be appreciated that all combinations of the concepts discussed in greater detail below (provided such concepts are not mutually inconsistent) are contemplated as being part of the inventive subject matter disclosed herein. It also should be appreciated that terminology explicitly employed herein that also may appear in any disclosure incorporated by reference should be accorded a meaning most consistent with the particular concepts disclosed herein.

Following below are more detailed descriptions of various concepts related to, and embodiments of, inventive methods, apparatus and systems configured to provide for a computer-implemented method for optimizing an entity privacy rights recommendation for an online transaction, comprising creating, with at least one processor, an entity user account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score, wherein the entity user account is associated with an entity user of the end user application; assigning, with the at least one processor, a unique alpha-numeric identifier for the entity user within the entity user account, wherein the unique alpha-numeric identifier comprises a composite identification of an industry or legal privacy standard, a geographic or jurisdictional identifier, a technology platform identifier, a category good or service identifier, and an entity identifier; matching, with the at least one processor, the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier; and providing, with the at least one processor via the graphical user interface, the entity privacy rights recommendation comprising the one or more online category good or service vendor matched to the entity user.

Before the present invention and specific exemplary embodiments of the invention are described, it is to be understood that this invention is not limited to particular embodiments described, as such may, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting, since the scope of the present invention will be limited only by the appended claims.

Where a range of values is provided, it is understood that each intervening value, to the tenth of the unit of the lower limit unless the context clearly dictates otherwise, between the upper and lower limit of that range and any other stated or intervening value in that stated range is encompassed within the invention. The upper and lower limits of these smaller ranges may independently be included in the smaller ranges is also encompassed within the invention, subject to any specifically excluded limit in the stated range. Where the stated range includes one or both of the limits, ranges excluding either or both of those included limits are also included in the invention.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Although any methods and materials similar or equivalent to those described herein can also be used in the practice or testing of the present invention, exemplary methods and materials are now described. All publications mentioned herein are incorporated herein by reference to disclose and describe the methods and/or materials in connection with which the publications are cited.

It must be noted that as used herein and in the appended claims, the singular forms “a”, “an,” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a stimulus” includes a plurality of such stimuli and reference to “the signal” includes reference to one or more signals and equivalents thereof known to those skilled in the art, and so forth.

Any publications discussed herein are provided solely for their disclosure prior to the filing date of the present application. Nothing herein is to be construed as an admission that the present invention is not entitled to antedate such publication by virtue of prior invention. Further, the dates of publication provided may differ from the actual publication dates which may need to be independently confirmed.

As used herein, “exemplary” means serving as an example or illustration and does not necessarily denote ideal or best.

As used herein, the term “includes” means includes but is not limited to, the term “including” means including but not limited to. The term “based on” means based at least in part on.

As used herein, the term “interface” refers to any shared boundary across which two or more separate components of a computer system may exchange information. The exchange can be between software, computer hardware, peripheral devices, humans, and combinations thereof.

The terms “end user” and “entity user” may be used interchangeably in different contexts as described herein.

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform with two-sided network effects. In accordance with various aspects of the present disclosure, privacy education for an entity user is relied upon to fulfill one or more needs of the entity user through the user's respective category goods and services privacy scores to motivate their respective category goods and services consumption. In accordance with certain aspects of the present disclosure, a privacy optimization platform enables network orchestration between entity users and online vendors to create shared value (i.e., entity user demand is supplied/fulfilled with online vendor supply via the privacy optimization platform). The privacy optimization platform of the present disclosure is configured to minimize negative network effects through quality curation (i.e., the privacy optimization platform is configured to continually configure for entity user privacy choices to programmatically deliver to improve quantity and quality of automatically matched category goods and services privacy, scoring, rewards, and redemptions).

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform configured to present one or more computerized prompts or interactions to an entity user within a graphical user interface of an end user application to determine and/or apply one or more parameters and/or metrics for one or more platform participants, value units and filters. In accordance with certain aspects of the present disclosure, one or more “participants” may include one or more platform users and/or online vendors having one or more published privacy policies, online terms of service, applicable privacy regulations/legal standards, and the like. In accordance with certain aspects of the present disclosure, a “value unit” may include an interaction between participants with an exchange of information that has value to participants. In accordance with certain aspects of the present disclosure, one or more “filters” may comprise one or more algorithmic software-based tools utilized by the online privacy optimization platform to enable the exchange of appropriate value units between participants. One or more filters may be configured to deliver one or more value units and/or while blocking less/unvaluable units, per participant.

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform configured to perform one or more steps or operations for pulling, facilitating and matching one or more online privacy parameters or metrics for one or more participants. In accordance with certain aspects of the present disclosure, one or more steps or operations for “pulling” may comprise a single user feedback loop, by which the one or more the platform learns about each unique identifier (UID), the more accurate its recommendations become for that UID. In accordance with certain aspects of the present disclosure, one or more steps or operations for “facilitating” may comprise the process (e.g., infrastructure) in which value can be created and exchanged, without controlling value creation, within the platform. In accordance with certain aspects of the present disclosure, one or more steps or operations for “matching” may comprise various efficiencies created by matching the right participants with one another and ensuring the most relevant goods and services are exchanged therebetween.

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform comprising a modular system architecture. In accordance with certain aspects of the present disclosure, a modular system architecture may include one or more computer system elements configured to organize complex products and processes efficiently. In accordance with certain aspects of the present disclosure, a modular system architecture may include one or more value unit design aspects including, but not limited to, respective category goods and services privacy policy and terms of service, such as AMAZON category goods and services, decentralized computer networks (Blockchain, cryptography, cryptographic currency), ACH rewards fulfillment (e.g., DIWOLLA), and participant historical goods and services consumption.

In accordance with certain aspects of the present disclosure, a modular system architecture may include one or more filters. In certain embodiments, one or more filters may include one or more steps or operations for creating a unique identifier for an entity user comprising a specified ontology for identifying one or more industry and/or legal standard using an alpha-numeric identifier with one or more unique identifiers. In certain embodiments, the method and system of the present disclosure may be configured to generate a per entity privacy score unique identifier comprising one or more of privacy elements including, but not limited to, privacy industry or legal standards, technology platforms, category goods or services, data controller/processor/subject entities, an entity user-supplied, consented, and sharable demographic item(s), category good or service privacy policy and terms of service list items. The one or more of privacy elements may be paired and matched with an entity user's needs via a continuous feedback loop. In accordance with certain aspects of the present disclosure, one or more filters may include a privacy education/assessment for an entity user comprising a score/output that is paired and matched to the entity user's needs via a continuous feedback loop. In accordance with certain aspects of the present disclosure, one or more filters may include privacy score rewards for the entity user that are redeemed, paired and matched to the entity user's needs via a continuous feedback loop. In accordance with certain aspects of the present disclosure, one or more of filters may include referral rewards for the entity user that are redeemed, paired and matched to the entity user's needs via a continuous feedback loop.

In accordance with certain aspects of the present disclosure, one or more per entity category privacy score choices for the entity user may be redeemed, paired and matched to the entity user's needs via a continuous feedback loop. In accordance with certain embodiments, a per entity privacy score may include at least one privacy industry or country/region legal standard. In accordance with certain embodiments, a per entity privacy score and rewards redeemed may be associated with a specific technology platform. In accordance with certain embodiments, a per entity privacy score and rewards redeemed may be associated with a category good or service. In accordance with certain embodiments, a per entity privacy score and rewards redeemed may include a data controller and/or a data processor and/or a data subject entity. In accordance with certain embodiments, a per entity privacy score may include a category good or service privacy policy and terms of service list item. In accordance with certain embodiments, a per entity privacy score may include one or more confirming/non-confirming choices per category good or service privacy policy and terms of service list item.

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform configured to generate a dynamic privacy score index for one or more platform entities or participants (e.g., online goods/services vendor(s)). In accordance with certain aspects of the present disclosure, a dynamic privacy score index may be directly or inversely correlated to one or more industry parameters. In certain embodiments, a dynamic privacy score index may be inversely/negatively correlated to one or more privacy regulations or legal standards (e.g., GDPR). In certain embodiments, a dynamic privacy score index may be inversely/negatively correlated to entities (e.g., online goods/services vendor(s)) facing potential/actual adverse legal and/or regulatory action(s) due to security/privacy-related incident(s) breaches. In certain embodiments, a dynamic privacy score index may be directly/positively correlated to a consumer (e.g., entity-data subject) satisfaction index and/or a consumer confidence index per category of goods or services and/or across all categories of goods or services.

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform configured to reconfigure value creation, consumption, quality control to tap new sources of supply and minimize user barriers of usage for one or more entity users. Certain embodiments may provide a graphical user interface of an end user application comprising one or more category logos to reduce UID negative privacy score elements and increase scores/rewards/redemptions associated with one or more entity user needs. In certain embodiments, one or more UID Algorithms may include category logo matching based on scores and rewards. As platform scaling occurs, UID curation efforts gather better UID data for category goods/services with better score/reward/redemption for improved needs matching.

An exemplary system, method, and apparatus according to the principles herein may include an online privacy optimization platform configured to enhance curation mechanisms (e.g., UIDs) that improve quality of consumer/vendor interactions and capture excess value without negative network effect tradeoffs. The online privacy optimization platform may comprise one or more application programing interface (API) or software development kit (SDK) configured to enable category goods/services developers to provide UID scores, rewards, and redemptions associated with one or more entity user needs.

1 FIG. 100 100 110 102 102 110 Referring now to the drawings in which like reference numbers denote like elements throughout,is a block diagram of a systemconfigured to perform methods of identifying and optimization matching entity 01.01.UK1.T1.C1.DP1DC1DS1 . . . privacy rights education with an entity user's needs (e.g., purchased goods and services). The systemincludes an application componentconfigured to execute on an entity (user) device, such as a mobile electronic device, laptop computer, desktop computer, or other computing device. The application componentis configured to identify and present one or more dynamically-generated lawful basis for processing one or more data standard or non-standard list item(s) per category good or service for the entity user list item(s) (e.g., verification or non-verification, like or not like, understand or don't understand) to dynamically, uniquely score such category good or service for the entity user (i.e., the educated scorer). Such information for data privacy education and educated scorer needs include, but are not limited to, access components: mobile browser(s) and/or personal computer browser(s) and/or digital frequency advertisements (e.g., BLUETOOTH).

120 110 120 110 120 110 215 120 215 110 205 2 FIG. In accordance with certain aspects of the present disclosure, entity access management componentprovides each permissioned entity in each country/region with access, along with the application component, to the entity privacy display componentto display, manage, or access some of the data privacy information along with the application component. The entity access management and entity privacy display management componentsmay preferably reside on a separate component (e.g., an entity server(s)) to the application component, such as an executable component(as shown in) that may be actively providing the entity access management and entity privacy display via an Application Programming Interface (API) to this separate component. The executable componentmay interact with the application componentvia the application interface.

110 800 400 110 800 810 110 805 120 120 110 800 400 8 FIG. In accordance with certain aspects of the present disclosure, personal data privacy systems and methods providing each entity user with privacy rights experienced as human needs occur with componentinteracting with a system(as shown in) comprising a backend infrastructure for each occurrence of identifying and optimization matching entity 01.01.UK1.T1.C1.DP1DC1DS1 . . . privacy rights education (“S.E.R.R.R.”) with the entity user's needs (“S.U.C.C.E.S.S.R.”) represented in. Componentinteracts with two subsystems of, which includeproviding a representative backend infrastructure supporting componentandproviding representative ways and means of capturing all entity componentinteractions between data processors, data controllers, and data subjects. This represents a data validation link between Privacy Rights Educated Scorer and their good or service consumed. Another important aspect is that constant action ofby usingandenables S.E.R.R.R. and in-turn creates the experience of S.U.C.C.E.S.S.R., as represented by.

2 FIG. 8 FIG. 110 110 205 210 850 215 820 220 225 400 230 shows an application componentreflecting one embodiment of the invention. The application componentis one of the embodiments of invention, it consists of the following components:is the locally installed or the browser driven component a local data storewhich is augmented by server/cloud data storeas represented in, the client authorization moduleauthorizes the user entity by collaborating with. The UI componentglues the user interface component with client data validations, functions, device APIs to achieve scanning, use of camera, barcode scanner, RFID or any other hardware/device capabilities.represents Artificial Intelligence (AI), Machine Learning (ML) and System and/or Entity Notification components which together operate to facilitate and improve identification and optimization matching 01.01.UK1.T1.C1.DP1DC1DS1 . . . privacy rights education (i.e., S.E.R.R.R.) with the entity's human needs (i.e., S.U.C.C.E.S.S.R.) represented in. Representative interaction happens with the server/backend infrastructure through the network and service interface.

210 120 110 230 210 850 210 110 200 230 205 220 230 110 The data storemay store the information types and uses related to data privacy and human needs optimization matching, or identifiers thereof, to include relevant entity access management componentinformation from the application componentvia the network interface. The data storealong withmay store such data privacy information in association with one or more users for which those types and uses are relevant. The data storemay also store metadata about the data privacy and/or human needs information to be used to filter data in certain ways by each permissioned entity. The application componentmay communicate with the other components of the systemusing a network/service interfaceprovided by the application, or by the application interfaceandgenerally. The network/service interfacemay not be included in the application component.

3 FIG. 300 100 illustrates a methodfor systemto identify and dynamically generate for each respective entity—data processor, data controller, and data subject—a unique composite alphanumeric identifier, such as 01.01.UK1.T1.C1.DP1DC1DS1 . . . with a continuous feedback loop that optimally matches each entity user's privacy rights education with the user's human needs through the entity's privacy scoring category goods or services privacy policies and terms of service to configure an educated scorer within an end user application. In accordance with certain aspects of the present disclosure, the educated scorer may refer additional entity privacy scorer(s) to generate one or more privacy scores. Privacy score for one or more entity users may be generated for one or more category goods or services. Entity users may receive one or more user rewards based on the user's privacy score and the system may dynamically match each entity user's privacy actions with their respective needs (e.g., subsistence, understanding and growth, connection and love, contribution, esteem and identity, self-governance, and significance and purpose).

300 301 302 100 In accordance with certain aspects of the present disclosure, methodbegins at Step. At step, based upon an industry and/or legal standard ‘paired and matched’ to a geography ‘paired and matched’ to a category good or service ‘paired and matched’ to an entity, such as a data processor, a data controller, and a data subject, the systemidentifies and presents a dynamically-generated lawful basis for data processing list item from a respective category good or service privacy policy and terms of service, that is tracked by an composite unique alpha-numeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1, to the entity scorer to ‘verify or not verify,’ or other confirming/non-confirming word, resulting in the calculation of unique Scorer Privacy Score % or N per Category Good or Service.

303 100 At step, based upon an industry and/or legal standard ‘paired and matched’ to a geography ‘paired and matched’ to a category good or service ‘paired and matched’ to an entity, such as a data processor, a data controller, and a data subject, the systemidentifies and presents a dynamically-generated lawful basis for data processing list item from a respective category good or service privacy policy and terms of service, that is tracked by an composite unique alpha-numeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1, to the entity Scorer to ‘like or not like,’ or other confirming/non-confirming word, resulting in the calculation of unique Scorer Privacy Score % or N per Category Good or Service.

304 100 At step, based upon an industry and/or legal standard ‘paired and matched’ to a geography ‘paired and matched’ to a category good or service ‘paired and matched’ to an entity, such as a data processor, a data controller, and a data subject, the systemidentifies and presents a dynamically-generated lawful basis for data processing list item from a respective category good or service privacy policy and terms of service, that is tracked by a composite unique alpha-numeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1, to the entity Scorer to “Understand or Don't Understand,” or other confirming/non-confirming word, resulting in the calculation of unique Scorer Privacy Score % or N per Category Good or Service and the calculation of the entity Privacy Education Levels.

305 302 304 100 At step, the entity Educated Scorer with the composite unique alpha-numeric identifier alphanumeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1 across steps,-will have their privacy rights education optimally matched with some or all of their human needs (e.g., subsistence, understanding and growth, connection and love, contribution, esteem and identity, self-governance, and significance and purpose), as tracked and displayed to the Educated Scorer in the system.

100 302 303 304 305 For example, the lawful basis for data processing list item may be from the manufacturer of a pair of shoes, a Data Controller and/or Data Processor for which the entity, Data Subject, who is interested in purchasing. The system, will display dynamically-generated lawful basis for data processing list item from the respective manufacturer category good or service privacy policy and terms of service, that is tracked by an composite unique alpha-numeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1, providing the Data Subject with the privacy right to ‘verify or not verify’ (step), ‘like or not like’ (step), and ‘understand or not understand’ (Step), this list item with a resultant unique Educated Scorer Privacy Score is % or N for that category logo to inform the Educated Scorer's purchase decision based upon how their personal privacy rights have affected their understanding and growth, esteem and identity, self-governance, and significance and purpose needs (step).

306 302 304 305 At step, the entity Educated Scorer upon completion of steps-can be eligible, and motivated to refer additional Scorer entity(s) such as 01.01.UK1.T1.C1.DP1DC1DS2 to privacy score a category good or service dynamically-generated lawful basis for data processing list item due to their receiving potential Rewards and accompanying human needs fulfillment, such as connection and love, contribution, and significance and purpose (step).

307 306 302 304 305 At step, the referred Educated Scorer in stepwhom has completed steps-can be eligible, and motivated to refer additional Scorer entity(s) such as 01.01.UK1.T1.C1.DP1DC1DS3 to privacy score a category good or service dynamically-generated lawful basis for data processing list item due to their receiving potential Rewards along with the originating Educated Scorer entity, 01.01.UK1.T1.C1.DP1DC1DS1, receiving additional potential Streak Rewards with both 01.01.UK1.T1.C1.DP1DC1DS1 and 01.01.UK1.T1.C1.DP1DC1DS2 gaining accompanying human needs fulfillment, such as connection and love, contribution, and significance and purpose (step).

308 301 304 306 307 At step, steps-,andfulfilled by any or all Educated Scorers, such as 01.01.UK1.T1.C1.DP1DC1DS1 . . . provide one or more incentives for the Educated Scorer including, but not limited to, monies, rewards, discounts and/or other incentives that satisfy human needs.

309 310 305 At steps-, the entity Educated Scorer may redeem one or more incentives (e.g., cash or cash discounts) from Good or Service Category(s) Logo(s) and/or provide for Educated Scorer Redemptions for cash donations for Educated Scorer Community (i.e., School Districts, etc.) usage and consumption, with financial reward redemptions fulfilling subsistence, understanding and growth, connection and love, contribution, esteem and identity, self-governance, and significance and purpose human needs, step.

4 FIG. 400 300 100 401 illustrates an exemplary optimization matching processfor methodfor systemto utilize continuous feedback loops between each privacy educated entity (e.g., data processor, data controller, and data subject—01.01.UK1.T1.C1.DP1DC1DS1) to dynamically match educated entity's privacy rights is % or N equal to the privacy educated entity's human needs (expressed as a % or N),.

402 302 305 300 100 302 304 305 302 304 100 Privacy score and privacy education match human needsat steps-for methodfor the Educated Scorer. This is based upon an industry and/or legal standard ‘paired and matched’ to a geography ‘paired and matched’ to a category good or service ‘paired and matched’ to an entity, such as a data processor, a data controller, and a data subject, the systemidentifies and presents a dynamically-generated lawful basis for data processing list item from a respective category good or service privacy policy and terms of service, that is tracked by an composite unique alpha-numeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1, to the entity Scorer to ‘verify or not verify,’ or other confirming/non-confirming word, ‘like or not like, or other confirming/non-confirming word, and ‘understand or don't understand,’ or other confirming/non-confirming word resulting in the calculation of unique Scorer Privacy Score % or N per Category Good or Service, steps-. At step, the entity Educated Scorer with the composite unique alpha-numeric identifier alphanumeric identifier such as 01.01.UK1.T1.C1.DP1DC1DS1 across steps,-will have their privacy rights education optimally matched with some or all of their human needs, such as subsistence, understanding and growth, connection and love, contribution, esteem and identity, self-governance, and significance and purpose as tracked and displayed to the Educated Scorer in system.

403 305 306 300 306 302 304 305 Educated Scorer refers additional Educated Scorer(s) for rewards matching the referring Educated Scorer's human needsat steps,for method. At step, the entity Educated Scorer upon completion of steps-are eligible, and motivated to refer additional Scorer entity(s) such as 01.01.UK1.T1.C1.DP1DC1DS2 to privacy score a category good or service dynamically-generated lawful basis for data processing list item due to their receiving potential Rewards and accompanying human needs (e.g., subsistence, understanding and growth, connection and love, contribution, esteem and identity, self-governance, and significance and purpose) (step).

403 302 304 306 307 300 305 404 302 310 300 305 Educated Scorer receives Streak Rewards based upon referred Educated Scorer(s) referring additional Educated Scorers, whom have completed steps-and steps,for method, matching the original referring Educated Scorer's human needs fulfillment, step. Educated Scorer is provided with Rewards Redemptions for cash or cash discounts from category good or service logo(s) and, or, is provided with Reward Redemptions for cash donations for Educated Scorer Community (e.g., School Districts) usage and consumption, matching the Educated Scorer's human needsat steps-for method, matching the Educated Scorer's human needs fulfillment (step).

5 FIG. 500 100 illustrates a methodwith an optimization matching process for systemthat identifies and dynamically generates a composite alpha-numeric identifier, such as 01.01.UK1.T1.C1.DP1DC1DS1 . . . to track and illustrate each lawful basis for processing list item(s) from a category good or service privacy policy and terms of service according to an industry and legal standard matched to a geography matched to a category good or service matched to an entity with a resultant entity privacy score and privacy rights education utilizing continuous feedback loops to optimally match each entity user's privacy rights education with that respective entity user's human needs (e.g., subsistence, understanding and growth, connection and love, contribution, esteem and identity, self-governance, and significance and purpose).

510 560 The matching process that creates the dynamically-generated composite alpha-numeric identifier includes steps-to optimally match each entity user's privacy rights score and privacy rights education with that respective entity user's human needs.

510 520 530 540 550 545 5 FIG. The industry and legal standard alpha-numeric identifierfor this example is industry standard is 01 and legal standard is 01, with the composite alpha-numeric identifier is 01.01. The geography alpha-number identifierfor this United Kingdom (UK) example is UK1, with the composite alpha-numeric identifier is 01.01.UK1. The technology platform alpha-numeric identifierfor this example T1, with the composite alpha-numeric identifier is 01.01.UK1.T1. The category good or service alpha-numeric identifierfor this example is C1, with the composite alpha-number identifier is 01.01.UK1.T1.C1. The entity alpha-numeric identifierillustrates each entity individually and with the composite alpha-numeric identifier. The data processor example is DP1, with the composite alpha-numeric identifier is 01.01.UK1.T1.C1.DP1. The data controller example is DC1, with the composite alpha-numeric identifier that includes the inherited data processor (DP1) is 01.01.UK1.T1.C1.DP1DC1. The data subject example is DS1, with the composite alpha-numeric that includes the inherited data processor (DP1) and the inherited data controller (DC1) and encapsulates the user-supplied, consented and sharable demographic item(s) that matches with DP1 & DC1, the composite unique identifier is 01.01.UK1.T1.C1.DP1DC1DS1, as represented by blockin.

500 560 510 550 560 561 563 564 567 568 570 The methodillustrated inincludes steps-matching process plus category good or service privacy policy and terms of service list item composite alpha-numeric identifierswith composite steps-for the data processor is 01.01.UK1.T1.C1.DP1, steps-for the data controller is 01.01.UK1.C1.DP1DC1, and steps-for the data subject is shown as 01.01.UK1.T1.C1.DP1DC1DS1.

500 560 561 In accordance with certain aspects of the present disclosure, the methodis initiated at step. At step, 01.01.UK1.T1.C1.DP1 is verified/not verified; liked/not liked; understood/not understood, etc., with a dynamically generated privacy score (a % such as <100% or a number (N)).

562 At step, list item 01.01.UK1.T1.C1.DP1 is integrated into the data processor privacy policy, cookie policy, and term(s) of use for the intended data controller, 01.01.UK1.T1.C1.DP1DC1, and the data subject, 01.01.UK1.T1.C1.DP1DC1DS1, use.

563 At step, a dynamically generated privacy score (a % such as <100% or a number (N)) for the data processor user is derived from the aggregation of data processor list item(s) verifications/non-verifications, likes/not likes, understoods/not understoods, etc.

564 At step, list item 01.01.UK1.T1.C1.DP1DC1 is verified/not verified; liked/not liked; understood/not understood, etc., with a dynamically generated privacy score (a % such as <100% or a number (N)).

565 At step, data processor and controller list item 01.01.UK1.T1.C1.DP1DC1 is paired and ordered for intended data subject use.

566 At step, 01.01.UK1.T1.C1.DP1DC1 is integrated into the data controller privacy policy, cookie policy, and term(s) of use for the intended data subject, 01.01.UK1.T1.C1.DP1DC1DS1, use.

567 At step, a dynamically generated data controller privacy score (a % such as <100% or a number (N)) for the data controller is derived from the aggregation of data controller list item(s) verifications/non-verifications, likes/not likes, understoods/not understoods, and the like.

568 At step, list item 01.01.UK1.T1.C1.DP1DC1DS1 is verified/not verified; liked/not liked; understood/not understood, etc. by the data subject, with a dynamically generated privacy score (a % such as <100% or a number (N)).

569 At step, 01.01.UK1.T1.C1.DP1DC1DS1 Privacy Score and Education Level (% or N) is optimization matched (is) to 01.01.UK1.T1.C1.DP1DC1DS1 Subsistence, Understanding and Growth, Connection and Love, Contribution, Esteem and Identity, Self-governance, Significance and Purpose (% or N).

570 500 510 At step, the methodends and repeats with a feedback loop beginning at step.

6 FIG. 600 500 510 560 602 604 500 510 560 569 illustrates a methodentity Educated Scorer, 01.01.UK1.T1.C1.DP1DC1DS1, upon completion of methodsteps-becoming eligible and motivated to refer additional Scorer entity(s), such as 01.01.UK1.T1.C1.DP1DC1DS2 (Step) to receive money, rewards, discounts and/or other incentives for matching scores and/or additional scorer entities is N (1,2,3 . . . ) upon the referred additional Scorer entity(s) 01.01.UK1.T1.C1.DP1DC1DS2 (Step) upon completing method, steps-, including at step, all entity(ies) 01.01.UK1.T1.C1.DP1DC1DS1, 01.01.UK1.T1.C1.DP1DC1DS2 . . . with each Privacy Score and Education Level and Reward and Referral (% or N) optimization matched (is) to each entity(s) 01.01.UK1.T1.C1.DP1DC1DS1, 01.01.UK1.T1.C1.DP1DC1DS2 . . . receive money, rewards, discounts, and/or other incentives that satisfy human needs for matching scores and/or for Subsistence, Understanding and Growth, Connection and Love, Contribution, Esteem and Identity, Self-governance, Significance and Purpose (% or N).

7 FIG. 700 500 510 560 600 702 illustrates a methodentity Educated Scorer(s), 01.01.UK1.T1.C1.DP1DC1DS1, 01.01.UK1.T1.C1.DP1DC1DS2 . . . , upon completion of methodsteps-by each referred entity(s) 01.01.UK1.T1.C1.DP1DC1DS . . . , using the reward points eligibility earned from referrals, method, redeems reward points (Step) with earned cash and/or cash donations used for consumption category good(s) or service(s), with each Privacy Score and Education Level, Reward and Referral, and Redeem/Consume (% or N) optimization matched (is) to all entity(ies) 01.01.UK1.T1.C1.DP1DC1DS1, 01.01.UK1.T1.C1.DP1DC1DS2 . . . Subsistence, Understanding and Growth, Connection and Love, Contribution, Esteem and Identity, Self-governance, Significance and Purpose (% or N).

8 FIG. 800 800 810 880 890 is a block diagram of a distributed computer systemproviding an example, in which various aspects and embodiments of this disclosure may be implemented. The distributed computer system may include one or more computer systems. For example, as illustrated, the distributed computer systemincludes multiple computer systems,to.

800 Systemmay use various methods, protocols and standards including, among others, token ring, Ethernet, Wireless Ethernet, Bluetooth, radio signaling, infra-red signaling, TCIP/IP, UDP, HTTP, HTTPS, FTP, SNMP, SMS, MMS, RCS, SS7, JSON, XML, REST, SOAP, CORBA HOP, RMI, DCOM and Web Services.

810 810 880 890 810 810 880 890 According to some embodiments, the functions and operations discussed for producing a three-dimensional synthetic viewpoint can be executed on computer systemsindividually or in combination. For example, the computer systems,,support, for example, participation in a collaborative network. In one alternative, a single computer system (e.g.,) can generate the three-dimensional synthetic viewpoint. The computer systems,,may include servers or services consumed on cloud.

1 2 FIGS.- Various aspects and functions in accord with embodiments discussed herein may be implemented as specialized hardware or software executing in one or more computer systems including the computer systems shown in.

800 805 120 805 810 880 890 845 230 102 Systems in 805 represent the point of presence systems present in the ecosystem of, which can be any form of intelligent (special purpose computing devices such as shop beacons) or passive devices (such as passive RFID tags, barcodes etc.).system captures the user entity's consumption of the Logo's services in the physical space or online space. This provides validated data point to access the SUCCESS model. Systems incommunicate with systems in,,through various network and services interfaces depicted byandwith respect to user device.

800 880 890 The following components can reside on a particular server or can be consumed as service using any of the cloud services. These components can be on computer systemor spread overto.

815 110 815 815 840 840 810 815 835 830 225 110 102 840 855 810 850 820 800 110 805 810 810 2 FIG. 2 FIG. In one embodiment, the computing system consists ofwhich provides the required network/service interface forto interact with the backend. It can be native calls, RESTFul/SOAP calls, Stream pushes.also encompasses the business logic, Functions, Jobs to achieve the optimization matching model(s) of S.E.R.R.R. equal to S.U.C.C.E.S.S.R.interacts with rest of the system and outside services through the system of communication, protocols, methodologies represented by,consists of the following but it is not limited to usage of Service bus, data storage services, various Service libraries and APIs which are native of, or third party vendors or cloud service providers;derives its intelligence through making use of cognitive servicesand machine learning services; these are needed to support the intelligence depicted by componentin the application(see) which runs on User entity's device.also glues the flows of communicationthrough various notification methodologies such as WebSocket, SMS, using various protocols and it also plays a role in data storage along with native protocols and methodologies. Systemhas various forms of data stores represented bybut not limited to SQL, no SQL, Blob persistent data storage.represents Authorization and Authentication in the systemand also it provides various permission support to elementinand element. Systemincludes various data transfer protocols and standards including, but not limited to, http, https, ws, web socket, NF/RFID, TCP/IP, Zigbee, iBeacon, Bluetooth, low power Bluetooth, XML, SOAP, RESTful, MQTT, Streams, GraphQL, SQL, no SQL and the like. Systemmay include various notification protocols including, but not limited to, email, WebSocket, voice calls; 3G, 4G LTE, 5G, accessibility standards, and the like.

825 S.E.R.R.R. model is implemented through Education Certification Engine, which encompasses server-based User level privacy score certification generation, certificate validation systems, certificate sharing (not limited to social media, professional media) and distribution through various means.

110 810 110 Another aspect is the applicationcan be made available through an “app store” for download or purchase, once installed or made available for execution, computer systemcan be specifically configured to execute the functions associated with producing the functionality required oneither through the install model or through the browser model.

810 880 890 810 880 890 810 102 In some embodiments, the computer system,,may include an operating system that manages at least a portion of the hardware components (e.g., input/output devices, touch screens, cameras, etc.) included in computer system,,. One or more processors or controllers, such as processor, may execute an operating system which may be, among others, a Windows-based operating system available from Microsoft Corporation, an operating system available from Apple Corporation (e.g., MAC OS, including System X), one of many Linux-based operating system distributions (for example, the Enterprise Linux operating system available from Red Hat Inc.), a Solaris operating system available from Oracle Corporation, or a UNIX operating system available from various sources. Many other operating systems may be used, including operating systems designed for personal computing devices, smartphones, tablets, or wearables (e.g., iOS or Android on user device) and embodiments are not limited to any particular operating system.

9 FIG. 1 FIG. 8 FIG. 3 FIG. 4 FIG. 5 FIG. 6 FIG. 7 FIG. 900 900 100 800 900 300 400 500 600 700 900 902 900 904 901 903 905 907 907 909 900 906 900 908 900 b is a block diagram of a methodfor dynamically optimizing online privacy recommendations for entity users. In accordance with certain aspects of the present disclosure, methodmay be embodied as one or more system routines or operations of system(as shown in) and/or system(as shown in). In accordance with certain aspects of the present disclosure, methodmay be sequential to one or more steps or operations (including one or more sub-steps or sub-operations) for one or more of method(as shown in), method(as shown in), method(as shown in), method(as shown in) and/or method(as shown in). In accordance with certain aspects of the present disclosure, methodmay be initiated by executing one or more steps or operations for creating, with at least one processor, an entity user account within an end user application comprising a graphical user interface configured to display one or more privacy rights education prompt and an entity user privacy score (Step). In certain embodiments, the entity user account is associated with an entity user of the end user application for optimizing one or more online privacy recommendations for an entity user. Methodmay proceed by executing one or more steps or operations for assigning, with the at least one processor, a unique alpha-numeric identifier for the entity user within the entity user account (Step). In accordance with certain embodiments, the unique alpha-numeric identifier may comprise a composite identification of an industry or legal privacy standard, a geographic or jurisdictional identifier, a technology platform identifier, a category good or service identifier, one or more entity user-supplied, consented and sharable demographic item(s) identifierand an entity identifier. Methodmay proceed by executing one or more steps or operations for matching, with the at least one processor, the entity user to one or more online category good or service vendor according to the unique alpha-numeric identifier (Step). In accordance with certain aspects of the present disclosure, methodmay conclude upon executing one or more steps or operations for providing, with the at least one processor via the graphical user interface, the entity privacy rights recommendation comprising the one or more online category goods or services vendor matched to the entity user (Step). In certain embodiments, the entity privacy rights recommendation may include a link for a uniform resource locator for a webpage associated with the one or more online category good or service vendor. In certain embodiments, methodinclude one or more steps or operations for generating, with the at least one processor, a privacy index value for the one or more online category good or service vendor according to the at least one machine learning framework, wherein the privacy index value is directly or inversely correlated to one or more industry parameters for the one or more online category good or service vendor. In certain embodiments, the one or more industry parameters may comprise one or more of a privacy regulation parameter, an adverse legal or regulatory action parameter, a security or privacy-related incident or breach parameter, and a consumer satisfaction or consumer confidence parameter.

900 900 900 900 900 900 In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for analyzing, with the at least one processor, at least one online privacy policy or online terms of service for the one or more online category good or service vendor according to at least one machine learning framework to generate the composite identification of one or more of the industry or legal privacy standard, the geographic or jurisdictional identifier, the technology platform identifier, and the category good or service identifier. In certain embodiments, methodinclude one or more steps or operations for presenting, with the at least one processor via the graphical user interface, a one or more user prompts associated with one or more online category good or service list item to the entity user, wherein the one or more user prompts comprise one or more privacy education prompts. Methodmay further include one or more steps or operations for receiving, with the at least one processor via the graphical user interface, one or more user-generated inputs in response to the one or more user prompts and processing, with the at least one processor, the one or more user-generated inputs in response to the one or more user prompts to generate the entity user privacy score. In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for analyzing, with the at least one processor, the entity user privacy score and the unique alpha-numeric identifier to match the entity user to the one or more online category goods or services vendor and presenting, with the at least one processor via the graphical user interface, a one or more subsequent user prompts associated with the one or more online category good or service list item to the entity user, wherein the one or more subsequent user prompts comprise one or more subsequent privacy education prompts. In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for receiving, with the at least one processor via the graphical user interface, one or more subsequent user-generated inputs in response to the one or more subsequent user prompts and processing, with the at least one processor, the one or more subsequent user-generated inputs to generate an updated entity user privacy score. In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for analyzing, with the at least one processor, the updated entity user privacy score and the unique alpha-numeric identifier to provide an updated entity privacy rights recommendation to the entity user via the graphical user interface of the end user application.

900 900 900 900 In accordance with certain aspects of the present disclosure, methodmay further include one or more steps or operations for tracking, with the at least one processor, one or more online transaction associated with the link for the uniform resource locator for the webpage associated with the one or more online category good or service vendor. In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for providing, with the at least one processor via the graphical user interface, one or more financial rewards to the entity user in response to the one or more online transaction associated with the link for the uniform resource locator for the webpage associated with the one or more online category good or service vendor. In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for providing, with the at least one processor via the graphical user interface, at least one social sharing link associated with the entity user account to the entity end user. In accordance with certain aspects of the present disclosure, methodmay include one or more steps or operations for tracking, with the at least one processor, one or more social sharing event associated with the at least one social sharing link associated with the entity user account and providing, with the at least one processor via the graphical user interface, one or more financial rewards to the entity user in response to the one or more social sharing event.

10 FIG. 1 FIG. 1 FIG. 2 FIG. 1000 1000 100 1000 1001 1003 1020 1020 1001 1001 1002 1004 1006 1008 1002 110 1004 220 1001 1012 1018 1000 1001 1012 1014 1016 1018 1012 1002 1014 1000 1016 1018 1018 1018 1018 a, a, a a a a Referring now to, a functional block diagram of an online user privacy and transaction systemis shown. In accordance with certain aspects of the present disclosure, systemmay comprise an embodiment of system, as shown and described in association with. In accordance with certain aspects of the present disclosure, systemmay be comprised of an end user computing environmenta data controller computing environmentand a blockchain ledger. Blockchain ledgermay comprise a distributed computing environment comprising a plurality of shared databases that are linked in a peer-to-peer network to facilitate a blockchain architecture. In accordance with certain aspects of the present disclosure, end user computing environmentmay be configured as an end user device (e.g., a smart phone or personal computer) and/or may comprise a networked configuration of two or more networked devices (e.g., a smart phone and one or more remote servers). In certain embodiments, end user computing environmentcomprises an end user application, an end user interface(e.g., a graphical user interface), an application data store or database(e.g., a non-transitory computer readable storage medium), and a network interface(e.g., a network communications interface). In certain embodiments, end user applicationmay comprise an embodiment of application component, as shown and described in. End user interfacemay comprise an embodiment of UI componentas shown and described in. In accordance with certain embodiments, end user computing environmentmay comprise a plurality of computing modules-for facilitating one or more operations of the online user privacy and transaction system. In certain embodiments, end user computing environmentmay comprise a shareable data module, a self-sovereign identity (SSI) module, a user de-identified identity (UDID) module, and a transaction module. In accordance with certain aspects of the present disclosure, shareable data modulemay comprise one or more computing modules configured to execute one or more operations for storing and managing a plurality of personally identifiable information (PII) (e.g., demographic information) for an entity user. The entity user may comprise an end user of end user application. SSI modulemay comprise one or more computing modules configured to execute one or more operations for generating, managing and/or storing a self-sovereign identifier (SSID) for the entity user. The SSID may comprise a unique authentication access key for the entity user. In accordance with certain aspects of the present disclosure, the SSID may be configured as an authentication key and/or cryptographic key for authenticating the identity of the entity user in order to executed one or more transactions and/or authorize one or more operations of system. UDID modulemay comprise one or more computing modules configured to execute one or more operations for managing and sharing a unique identifier (e.g., an alpha-numeric value) comprising a UDID for the entity user. Transaction modulemay comprise one or more computing modules configured to execute one or more operations for managing and storing a plurality of transaction data associated with the entity user. In certain embodiments, transaction modulemay be configured to assign/manage one or more anonymized identifiers for each transaction stored in transaction module. In certain embodiments, transaction modulemay be configured to assign unique identification codes and metadata to transaction data in order to create a non-fungible token (or other digital asset) for each transaction and/or a group of transactions associated with the entity user.

1003 800 1003 1001 1003 860 865 860 865 865 1001 1003 1020 1001 1003 1020 a a a a a a a a 8 FIG. In accordance with certain aspects of the present disclosure, data controller computing environmentmay comprise an embodiment of distributed computer system, as shown and described in. Data controller computing environmentmay be configured as a networked server and may be communicably engaged with end user computing environmentvia a network communications interface. In accordance with certain embodiments, data controller computing environmentmay comprise a sharable ID generator moduleand a privacy score generator module. In certain embodiments, sharable ID generator modulemay be configured to execute one or more operations for generating the unique UDID for the entity user. In certain embodiments, privacy score generator modulemay be configured to execute one or more operations for processing a plurality of user-generated data and a plurality of online seller/brand data in order to generate one or more privacy score for the entity user and/or privacy index value for one or more online vendor. In certain embodiments, privacy score generator modulemay be configured to execute one or more operations for analyzing at least one online privacy policy or online terms of service for one or more online category good or service vendor and entity user-supplied, consented, and sharable demographic item(s) according to at least one machine learning framework to generate the privacy index value. In accordance with certain aspects of the present disclosure, end user computing environmentmay be configured to execute one or more steps or operations for sharing the UDID for the entity user between data controller computing environmentand/or blockchain ledgerin order to authenticate the entity user's anonymized identity and authorize one or more transactions/operations between end user computing environmentand data controller computing environmentand/or blockchain ledger.

1002 1004 1002 1012 1012 1012 1001 1004 1003 1003 865 1003 a a. a a In accordance with certain aspects of the present disclosure, end user applicationmay be configured to render one or more prompts or workflows (e.g., via end user interface) to establish an end user account for the entity user. The one or more prompts or workflows may comprise one or more graphical elements comprising one or more privacy education prompts (e.g., as described above) and/or one or more user demographic prompts. The one or more user demographic prompts may comprise one or more PII descriptors such as, but not limited to, Annual/Monthly/Weekly/Daily Income, Highest Educational Attainment, Gender, Ethnicity, Purchase Zip Code, Date of Birth, Marital Status, Number of Dependents, Daily/Weekly/Monthly/Annual Category Spend, Category Brand Preferences, Category Goods and Services Historical Purchases, and the like. End user applicationmay be configured to receive a plurality of user-generated inputs comprising user responses to the privacy education prompts and a plurality of demographic data for the end user. In accordance with certain embodiments, sharable data modulemay be configured to securely store the plurality of demographic data for the end user. In accordance with certain embodiments, sharable data modulemay be configured to enable the end user to configure one or more parameters for sharing their personal data. For example, sharable data modulemay comprise one or more configurable sharing parameters according to geographic region, data privacy policy and online terms of use, financial regulations, data security standards and/or data privacy laws. End user computing environmentmay be configured to communicate the plurality of user-generated inputs, in response to an express consent by the end user received via end user interface, to data controller computing environmentData controller computing environmentmay be configured to process the plurality of user-generated inputs (e.g., via a data processing framework of score generator module) to generate a privacy score for the end user. In accordance with certain aspects of the present disclosure, the data processing framework is configured to assign unique weights or values to each PII descriptor such that each aspect of the end user's demographic data has an impact (e.g., positive or negative) on the end user's privacy score (e.g., as described herein). In certain embodiments, the end user's demographic data may be analyzed (e.g., according to the data processing framework) to update a pre-existing (e.g., previously calculated) privacy score for the end user. In accordance with certain aspects of the present disclosure, data controller computing environmentis configured to analyze the privacy score to match the entity user to one or more online category good or service vendor.

10 FIG. 1014 1001 1003 1003 1001 1003 1018 1020 1001 1003 a a. a a a a a In accordance with certain aspects of the present disclosure, still in reference to, SSI moduleis configured to manage/store a unique authentication access key (e.g., an SSID) associated with the entity user's account. In certain embodiments, the SSID is stored locally on the end user device (e.g., a smart phone or personal computer). The end user's demographic data may also be stored locally on the end user's device. In accordance with certain aspects of the present disclosure, the UDID may comprise a linking ID for authenticating a user computing session between end user computing environmentand data controller computing environmentThe end user may share the UDID with data controller computing environmentto instantiate a consented computing session to share one or more data set residing in end user computing environment(e.g., the personal demographic data). The UDID may serve as a linking ID to anonymously identify the entity user while transferring the entity user's demographic data to/from data controller computing environmentand/or one or more other distributed computing systems configured to run in a centralized and/or decentralized system environment. In accordance with certain aspects of the present disclosure, transaction modulemay be configured to store data associated with each consented user computing session on blockchain networkto create an audit trail and/or ledger of consented user computing sessions between end user computing environmentand data controller computing environment.

11 FIG. 11 FIG. 10 FIG. 1 FIG. 1100 1100 1000 1100 100 1100 1001 1003 1020 1102 1001 1001 1022 1022 1022 b, a, b a, Referring now to, a functional block diagram of an online user privacy and transaction systemis shown. For the sake of brevity, like elements betweenand prior figures may not be discussed in detail below. In accordance with certain aspects of the present disclosure, systemcomprises an alternative embodiment of system, as shown and described in association with. Systemmay comprise an embodiment of system, as shown and described in association with. Systemmay comprise end user computing environmentdata controller computing environmentblockchain ledgerand one or more data processors. In accordance with certain embodiments, end user computing environmentmay be equivalent to end user computing environmentwith the addition of a secure digital wallet module. Secure digital wallet modulemay comprise a software module configured to store one or more digital assets (e.g., digital currency, NFTs, etc.) and facilitate one or more electronic transactions to send and/or receive one or more digital assets (e.g., digital currency, NFTs, etc.) to/from secure digital wallet module.

1100 1001 1102 1102 1001 1004 1001 1003 1003 860 1003 1001 1102 1001 1001 1022 1102 1004 1100 1001 1102 1018 1020 1001 1003 1018 1018 1020 1022 1102 b b b a. a a b b b b a a. In accordance with certain aspects of the present disclosure, systemis configured to facilitate one or more electronic transactions between end user computing environmentand the one or more data processor. In certain embodiments, one or more data processormay comprise one or more entity user digital financial accounts, payment accounts, bank accounts, investment accounts, and/or other types of digital financial accounts. In accordance with said embodiments, end user computing environmentmay execute one or more steps or operations (e.g., in response to one or more user inputs at end user interface) to share the UDID to instantiate a consented computing session between end user computing environmentand data controller computing environmentIn certain use cases, the consented computing session may be configured to execute one or more digital transaction. Data controller computing environmentmay be configured to process the UDID (e.g., via sharable ID generator module) to anonymously identify the entity user to facilitate the digital transaction. In accordance with certain aspects of the present disclosure, data controller computing environmentmay serve as a broker between end user computing environmentand the one or more data processor. End user computing environmentmay be configured to facilitate one or more digital transaction between end user computing environment(e.g., via secure digital wallet module) and the one or more data processorin response to one or more user commands received at end user interface. In accordance with certain aspects of the present disclosure, systemenables a secure, private (i.e., de-identified) digital transaction between the entity user (e.g., via end user computing environment) and the one or more data processor(e.g., one or more entity user digital financial accounts, payment accounts, bank accounts, investment accounts, and/or other types of digital financial accounts). In accordance with certain aspects of the present disclosure, transaction modulemay be configured to store data associated with each consented user computing session on blockchain networkto create an audit trail and/or ledger of consented user computing sessions between end user computing environmentand data controller computing environmentIn accordance with certain aspects of the present disclosure, transaction modulemay be configured to generate a non-fungible token (NFT) containing transaction data for each digital currency transaction. Transaction modulemay be configured to mint an NFT to blockchain ledgerfor each transaction by/between secure digital wallet moduleand the one or more data processor.

12 FIG. 12 FIG. 10 FIG. 11 FIG. 1 FIG. 1200 1200 1000 1100 1200 100 1200 1001 1003 1020 1102 1200 1001 1202 1204 1204 1206 1208 1210 1212 1214 a, a, a Referring now to, a functional block diagram of an online user privacy and transaction systemis shown. For the sake of brevity, like elements betweenand prior figures may not be discussed in detail below. In accordance with certain aspects of the present disclosure, systemmay comprise an alternative embodiment of system, as shown and described in association with, and/or an alternative embodiment of system, as shown and described in association with. Systemmay comprise an embodiment of system, as shown and described in association with. Systemmay comprise end user computing environmentdata controller computing environmentblockchain ledgerand one or more data processors. In accordance with certain aspects of the present disclosure, systemmay facilitate one or more physical or digital transaction(s) between end user computing environmentand one or more goods or services vendorand/or financial institution(s). Financial institutionsmay comprise one or more third-party financial institutions, banks, payment processors, financial exchanges(e.g., securities/commodities) and/or currency or cryptocurrency networks.

1001 1004 1003 1001 1003 1003 1001 1003 1202 1204 1001 1004 1202 1204 1003 1102 1202 1204 1200 1202 1204 1202 1204 1018 1020 1001 1003 1018 1202 1204 1018 1020 1001 1202 1204 a a a a. a a. a a a a a. a In accordance with said embodiments, end user computing environmentmay execute one or more steps or operations (e.g., in response to one or more user inputs at end user interface) to share the UDID with data controller computing environmentto instantiate a consented computing session between end user computing environmentand data controller computing environmentUpon authenticating the UDID, data controller computing environmentmay be configured to receive/process one or more user data sets from end user computing environmentThe one or more user data sets may comprise one or more user demographic data, privacy list item data, transaction data, digital currency, currency transfer, NFT transaction data, and the like. In accordance with certain aspects of the present disclosure, data controller computing environmentmay be configured to process the one or more sets of user data (e.g., according to at least one data processing framework) to provide one or more matching score, reward, offer, and/or recommendation for one or more goods or services vendorand/or financial institution(s). End user computing environmentmay be configured to display the one or more matching score, reward, offer, and/or recommendation at end user interface. In accordance with certain aspects of the present disclosure, the entity user may execute a transaction with one or more goods or services vendorand/or financial institution(s)based on the one or more matching score, reward, offer, and/or recommendation. Data controller computing environmentmay act as a broker to share the user's UDID between data processorsand the one or more goods or services vendorand/or financial institution(s)and facilitate the transaction. In accordance with certain aspects of the present disclosure, systemenables an entity user to execute the transaction with one or more goods or services vendorand/or financial institution(s)without sharing sensitive PII with the one or more goods or services vendorand/or financial institution(s), thereby enabling enhanced privacy and data security. In accordance with certain aspects of the present disclosure, transaction modulemay be configured to store data associated with each consented user computing session on blockchain networkto create an audit trail and/or ledger of consented user computing sessions between end user computing environmentand data controller computing environmentIn accordance with certain aspects of the present disclosure, transaction modulemay be configured to generate a non-fungible token (NFT) containing transaction data for each transaction with one or more goods or services vendorand/or financial institution(s). Transaction modulemay be configured to mint an NFT to blockchain ledgerfor each transaction by/between end user computing environmentand the one or more goods or services vendorand/or financial institution(s).

13 FIG. 13 FIG. 10 FIG. 11 FIG. 12 FIG. 1 FIG. 1300 1300 1000 1100 1200 1300 100 1300 1001 1003 1020 1202 1204 1300 1202 1204 1300 1022 b, b, Referring now to, a functional block diagram of an online user privacy and transaction systemis shown. For the sake of brevity, like elements betweenand prior figures may not be discussed in detail below. In accordance with certain aspects of the present disclosure, systemmay comprise an alternative embodiment of system, as shown and described in association with, and/or an alternative embodiment of system, as shown and described in association with, and/or an alternative embodiment of system, as shown and described in association with. Systemmay comprise an embodiment of system, as shown and described in association with. Systemmay comprise end user computing environmentdata controller computing environmentblockchain ledger, one or more goods or services vendorand/or financial institution(s). In accordance with certain aspects of the present disclosure, systemenables an entity user account to uniquely receive rewards and/or uniquely provide payments to/from one or more goods or services vendorand/or financial institution(s)securely and privately (i.e., in a de-identified manner) via the user's UDID as a form of identity and account verification. In accordance with certain aspects of the present disclosure, systemenables an entity user to execute one or more digital transactions (e.g., with secure digital wallet module) utilizing multiple forms of digital currency or cryptocurrency including, but not limited to, BITCOIN, BITCOIN exchanged to fiat currency(s), stablecoin (e.g., cryptocurrency with a value that is pegged to another asset), BITCOIN exchange traded funds (ETFs), and other forms of purchasing or rewards currency(s).

1003 800 1003 860 875 880 875 1202 1204 1202 1204 880 1001 1202 1204 1018 1020 1001 1003 1018 1202 1204 1018 1020 1001 1202 1204 b b b b b. b 8 FIG. In accordance with certain aspects of the present disclosure, data controller computing environmentmay comprise an embodiment of distributed computer system, as shown and described in. In accordance with certain embodiments, data controller computing environmentmay comprise sharable ID generator, a matching module, and a payments/rewards module. Matching modulemay be configured to execute a plurality of operations for analyzing the user's privacy score (e.g., including the user's demographic data) and the privacy index values for one or more goods or services vendorand/or financial institution(s)to match the one or more goods or services vendorand/or financial institution(s)to the entity user based on user privacy preferences and demographic data. Payments/rewards modulemay be configured to execute a plurality of operations for facilitating one or more transactions and/or delivering one or more rewards between end user computing environmentand one or more goods or services vendorand/or financial institution(s). In accordance with certain aspects of the present disclosure, transaction modulemay be configured to store data associated with each consented user computing session on blockchain networkto create an audit trail and/or ledger of consented user computing sessions between end user computing environmentand data controller computing environmentIn accordance with certain aspects of the present disclosure, transaction modulemay be configured to generate a non-fungible token (NFT) containing transaction data for each transaction with one or more goods or services vendorand/or financial institution(s). Transaction modulemay be configured to mint an NFT to blockchain ledgerfor each transaction by/between end user computing environmentand the one or more goods or services vendorand/or financial institution(s).

14 FIG. 14 FIG. 10 FIG. 11 FIG. 12 FIG. 13 FIG. 1 FIG. 1400 1400 1000 1100 1200 1300 1400 100 1400 1001 1003 1020 1202 1204 1400 1202 1204 1202 1402 1404 1402 1400 1202 1202 1008 1404 1018 1020 1001 1003 1018 1202 1204 1018 1020 1001 1202 b, b b b. b Referring now to, a functional block diagram of an online user privacy and transaction systemis shown. For the sake of brevity, like elements betweenand prior figures may not be discussed in detail below. In accordance with certain aspects of the present disclosure, systemmay comprise an alternative embodiment of system, as shown and described in association with, and/or an alternative embodiment of system, as shown and described in association with, and/or an alternative embodiment of system, as shown and described in association with, and/or an alternative embodiment of system, as shown and described in association with. Systemmay comprise an embodiment of system, as shown and described in association with. Systemmay comprise end user computing environmentdata controller computing environment, blockchain ledger, one or more goods or services vendorand/or financial institution(s). In accordance with certain aspects of the present disclosure, systemenables an entity user account to uniquely receive rewards and/or uniquely provide payments to/from one or more goods or services vendorand/or financial institution(s)securely and privately (i.e., in a de-identified manner) via the user's UDID as a form of identity and account verification. In accordance with certain aspects of the present disclosure, one or more goods or services vendormay comprise a “brick-and-mortar” retail location comprising one or more point-of-presence or point-of-sale devices/interfacesand one or more communication node. The point-of-sale devices/interfacesmay comprise one or more credit card terminals, RFID tags, BLUETOOTH beacons, NFC interfaces, camera systems (e.g., with facial/image recognition technology), optical scanning devices (e.g., barcodes, QR codes, etc.) and the like. Systemmay be configured to enable an entity user to account for a plurality of online and/or offline transactions with one or more goods or services vendor. In accordance with certain embodiments, the entity user may share the UDID with goods or services vendorvia an interface between network interfaceand communication nodeto establish a consented data transfer interface for sharing transaction data and/or user data/preferences. In accordance with certain embodiments, transaction data may be shared via multiple modalities including, but not limited to, QR codes (e.g., via an optical scanner), RFID tags, URL addresses/links (for online purchases), receipt uploads (e.g., via a camera system), and the like. In accordance with certain aspects of the present disclosure, transaction modulemay be configured to store data associated with each consented user computing session on blockchain networkto create an audit trail and/or ledger of consented user computing sessions between end user computing environmentand data controller computing environmentIn accordance with certain aspects of the present disclosure, transaction modulemay be configured to generate a non-fungible token (NFT) containing transaction data for each transaction with one or more goods or services vendorand/or financial institution(s). Transaction modulemay be configured to mint an NFT to blockchain ledgerfor each transaction by/between end user computing environmentand the one or more goods or services vendorand/or financial

15 FIG. 15 FIG. 1500 1500 1001 1003 1001 1002 1012 1014 1016 1018 1022 1500 1504 1506 1500 1001 1003 1003 870 c c c c c. c Referring now to, a functional block diagram of an online user privacy and transaction platformis shown. For the sake of brevity, like elements betweenand prior figures may not be discussed in detail below. In accordance with certain aspects of the present disclosure, platformcomprises an Open Standards Library for data controllers and/or data processors to utilize/configure the components of end user computing environmentand data controller computing environmentto build one or more customized online user privacy and transaction systems (e.g., as described herein). In accordance with certain embodiments, end user computing environmentmay comprise a software development kit (SDK) configured to enable a developer user to customize one or more operations of applicationand/or sharable data module, SSI module, UDID module, transaction moduleand secure digital wallet module. Platformmay enable a developer user to connect or configure one or more customized seller(s)/brand(s)and financial institution network. Platformmay enable a developer user to connect or configure one or more third-party applications into a network architecture with end user computing environmentand data controller computing environmentData controller computing environmentmay comprise a cryptography storage and services moduleto enable a developer user to configure one or more customized cryptography features for the user in the one or more customized online user privacy and transaction systems (e.g., NFT minting, etc.).

16 FIG. 1600 1600 1602 1604 1606 1608 1610 1606 1608 1612 1600 1612 1614 1616 1604 1602 1600 1606 1618 1618 1608 1620 1620 1620 1620 1614 Referring now to, a processor-implemented computing systemthrough which one or more aspects of the present disclosure may be implemented is shown. According to an embodiment, systemmay generally comprise at least one processor, or processing unit or plurality of processors, memory, at least one input deviceand at least one output device, coupled together via a bus or group of buses. In certain embodiments, input deviceand output devicecould be the same device. An interfacecan also be provided for coupling systemto one or more peripheral devices, for example interfacecould be a PCI card or PC card. At least one storage devicewhich houses at least one databasecan also be provided. The memorycan be any form of memory device, for example, volatile or non-volatile memory, solid state storage devices, magnetic devices, etc. The processorcould comprise more than one distinct processing device, for example to handle different functions within system. Input devicereceives input dataand can comprise, for example, a keyboard, a pointer device such as a pen-like device or a mouse, audio receiving device for voice-controlled activation such as a microphone, data receiver or antenna such as a modem or wireless data adaptor, data acquisition card, etc. Input datacould come from different sources, for example keyboard instructions in conjunction with data received via a network. Output deviceproduces or generates output dataand can comprise, for example, a display device or monitor in which case output datais visual, a printer in which case output datais printed, a port for example a USB port, a peripheral component adaptor, a data transmitter or antenna such as a modem or wireless network adaptor, etc. Output datacould be distinct and derived from different output devices, for example a visual display on a monitor in conjunction with data transmitted to a network. A user could view data output, or an interpretation of the data output, on, for example, a monitor or using a printer. The storage devicecan be any form of data or information storage means, for example, volatile or non-volatile memory, solid state storage devices, magnetic devices, etc.

1600 1616 1612 1602 1602 1618 1606 1608 1606 1608 1600 In use, systemis adapted to allow data or information to be stored in and/or retrieved from, via wired or wireless communication means, at least one database. The interfacemay allow wired and/or wireless communication between the processing unitand peripheral components that may serve a specialized purpose. In general, the processorcan receive instructions as input datavia input deviceand can display processed results or other output to a user by utilizing output device. More than one input deviceand/or output devicecan be provided. It should be appreciated that systemmay be any form of terminal, server, specialized hardware, or the like.

1600 1600 1618 1620 It is to be appreciated that systemmay be a part of a networked communications system. Systemcould connect to a network, for example the Internet or a WAN. Input dataand output datacould be communicated to other devices via the network. The transfer of information and/or data over the network can be achieved using wired communications means or wireless communications means. A server can facilitate the transfer of data between the network and one or more databases. A server and one or more databases provide an example of an information source.

1600 16 FIG. Thus, systemillustrated inmay operate in a networked environment using logical connections to one or more remote computers. The remote computer may be a personal computer, a server, a router, a network PC, a peer device, or other common network node, and typically includes many or all of the elements described above.

16 FIG. 16 FIG. 1600 1600 It is to be further appreciated that the logical connections depicted ininclude a local area network (LAN) and a wide area network (WAN) but may also include other networks such as a personal area network (PAN). Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets, and the Internet. For instance, when used in a LAN networking environment, systemis connected to the LAN through a network interface or adapter. When used in a WAN networking environment, the computing system environment typically includes a modem or other means for establishing communications over the WAN, such as the Internet. The modem, which may be internal or external, may be connected to a system bus via a user input interface, or via another appropriate mechanism. In a networked environment, program modules depicted relative to system, or portions thereof, may be stored in a remote memory storage device. It is to be appreciated that the illustrated network connections ofare exemplary and other means of establishing a communications link between multiple computers may be used.

16 FIG. 16 FIG. is intended to provide a brief, general description of an illustrative and/or suitable exemplary environment in which embodiments of the present disclosure may be implemented.is an example of a suitable environment and is not intended to suggest any limitation as to the structure, scope of use, or functionality of an embodiment of the present invention. A particular environment should not be interpreted as having any dependency or requirement relating to any one or combination of components illustrated in an exemplary operating environment. For example, in certain instances, one or more elements of an environment may be deemed not necessary and omitted. In other instances, one or more other elements may be deemed necessary and added.

1600 16 FIG. In the description that follows, certain embodiments may be described with reference to acts and symbolic representations of operations that are performed by one or more computing devices, such as systemof. As such, it will be understood that such acts and operations, which are at times referred to as being computer-executed, include the manipulation by the processor of the computer of electrical signals representing data in a structured form. This manipulation transforms the data or maintains them at locations in the memory system of the computer, which reconfigures or otherwise alters the operation of the computer in a manner understood by those skilled in the art. The data structures in which data is maintained are physical locations of the memory that have particular properties defined by the format of the data. However, while an embodiment is being described in the foregoing context, it is not meant to be limiting as those of skill in the art will appreciate that the acts and operations described hereinafter may also be implemented in hardware.

As will be appreciated by one of skill in the art, the present invention may be embodied as a method (including, for example, a computer-implemented process, a business process, and/or any other process), apparatus (including, for example, a system, machine, device, computer program product, and/or the like), or a combination of the foregoing. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.), or an embodiment combining software and hardware aspects that may generally be referred to herein as a “system.” Furthermore, embodiments of the present invention may take the form of a computer program product on a computer-readable medium having computer-executable program code embodied in the medium.

Any suitable transitory or non-transitory computer readable medium may be utilized. The computer readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device. More specific examples of the computer readable medium include, but are not limited to, the following: an electrical connection having one or more wires; a tangible storage medium such as a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a compact disc read-only memory (CD-ROM), or other optical or magnetic storage device.

In the context of this document, a computer readable medium may be any medium that can contain, store, communicate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer usable program code may be transmitted using any appropriate medium, including but not limited to the Internet, wireline, optical fiber cable, radio frequency (RF) signals, or other mediums.

Computer-executable program code for carrying out operations of embodiments of the present invention may be written in an object oriented, scripted or unscripted programming language such as Java, Perl, Smalltalk, C++, or the like. However, the computer program code for carrying out operations of embodiments of the present invention may also be written in conventional procedural programming languages, such as the “C” programming language or similar programming languages.

Embodiments of the present invention are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products. It will be understood that each block of the flowchart illustrations and/or block diagrams, and/or combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable program code portions. These computer-executable program code portions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a particular machine, such that the code portions, which execute via the processor of the computer or other programmable data processing apparatus, create mechanisms for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

These computer-executable program code portions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the code portions stored in the computer readable memory produce an article of manufacture including instruction mechanisms which implement the function/act specified in the flowchart and/or block diagram block(s).

The computer-executable program code may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational phases to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the code portions which execute on the computer or other programmable apparatus provide phases for implementing the functions/acts specified in the flowchart and/or block diagram block(s). Alternatively, computer program implemented phases or acts may be combined with operator or human implemented phases or acts in order to carry out an embodiment of the invention.

As the phrase is used herein, a processor may be “configured to” perform a certain function in a variety of ways, including, for example, by having one or more general-purpose circuits perform the function by executing particular computer-executable program code embodied in computer-readable medium, and/or by having one or more application-specific circuits perform the function.

Embodiments of the present invention are described above with reference to flowcharts and/or block diagrams. It will be understood that phases of the processes described herein may be performed in orders different than those illustrated in the flowcharts. In other words, the processes represented by the blocks of a flowchart may, in some embodiments, be performed in an order other than the order illustrated, may be combined or divided, or may be performed simultaneously. It will also be understood that the blocks of the block diagrams illustrate, in some embodiments, merely conceptual delineations between systems and one or more of the systems illustrated by a block in the block diagrams may be combined or share hardware and/or software with another one or more of the systems illustrated by a block in the block diagrams. Likewise, a device, system, apparatus, and/or the like may be made up of one or more devices, systems, apparatuses, and/or the like. For example, where a processor is illustrated or described herein, the processor may be made up of a plurality of microprocessors or other processing devices which may or may not be coupled to one another. Likewise, where a memory is illustrated or described herein, the memory may be made up of a plurality of memory devices which may or may not be coupled to one another.

While certain exemplary embodiments have been described and shown in the accompanying drawings, it is to be understood that such embodiments are merely illustrative of, and not restrictive on, the broad invention, and that this invention not be limited to the specific constructions and arrangements shown and described, since various other changes, combinations, omissions, modifications and substitutions, in addition to those set forth in the above paragraphs, are possible. Those skilled in the art will appreciate that various adaptations and modifications of the just described embodiments can be configured without departing from the scope and spirit of the invention. Therefore, it is to be understood that, within the scope of the appended claims, the invention may be practiced other than as specifically described herein.